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The sociological literature on creativity would suggest that collaboration between newcomers and more experienced members of an art world results in the fruitful combination of novelty and usefulness, though not without some conflict.
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Computational sociology leverages new tools and data sources to expand the scope and scale of sociological inquiry. It’s opening up an exciting frontier for sociologists of every stripe—from theorists and ethnographers to experimentalists and survey researchers. It expands the sociological imagination.
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Corporations gather massive amounts of personal data to predict how individuals will behave so that they can profitably price goods and allocate resources. This article investigates the moral foundations of such increasingly prevalent market practices. I leverage the case of credit scores in car insurance pricing—an early and controversial use of algorithmic prediction in the U.S. consumer economy—to unpack the premise that predictive data are fair to use and to understand the conditions under which people are likely to challenge that moral logic.
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Monica Prasad, along with collaborators like Isaac Martin and Ajay Mehrotra (e.g., Martin, Mehrotra, and Prasad 2009), has made fiscal sociology—the sociology of taxation—a thriving part of the discipline. Her first book showed how different national patterns of taxation help explain the variable strength of neoliberalism across nations (Prasad 2006). Her second identified progressive taxation as key to producing both democratized credit and a weak welfare state in the United States (Prasad 2012).
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This article reviews conceptualizations from three academic areas: the sociology of art, the psychology of creativity, and research on the cultural and creative industries. These are compared with findings from a critical discursive study with UK practitioners. The meanings and associations these maker artists attach to creativity are discussed as a practitioner concept. For the practitioners, the association of creativity with art carries a promise of transcendence and escape from ordinary life but also a potential challenge to their own entitlement and claims to a creative status.
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The short story is that Kieran Healy’s Data Visualization: A Practical Introduction is a gentle introduction to the effective display of social science data using the R package ggplot2. It is beautifully put together, achingly clear, and effective.
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Collective efficacy is an often‐studied concept, yet theoretical differences and confusing terminology lead to an inability to translate the concept across disciplines. Utilizing a nationally representative sample, this study employs structural equation modeling combined with a series of hierarchical models to test the hypotheses that the focal independent variables of neighborhood perceptions, strong social ties, and civic engagement as a proxy for weak social ties are each positively associated with collective efficacy while controlling for sociodemographic characteristics.
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Collective efficacy is an often‐studied concept, yet theoretical differences and confusing terminology lead to an inability to translate the concept across disciplines. Utilizing a nationally representative sample, this study employs structural equation modeling combined with a series of hierarchical models to test the hypotheses that the focal independent variables of neighborhood perceptions, strong social ties, and civic engagement as a proxy for weak social ties are each positively associated with collective efficacy while controlling for sociodemographic characteristics.
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Neighborhood income segregation is a widespread phenomenon. We explore its origins by modeling neighborhood selection by native Norwegian households making inter‐neighborhood moves, distinguishing influences of shares of three income groups and the discrepancy between the individual household's income and neighborhood median. We conduct a conditional logit analysis employing 2013–2014 population register data from the Oslo, Norway, metropolitan area.
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Positioning itself against arguments that claim that the Model Cities program (initially known as the 1966 Demonstration Cities and Metropolitan Development Act) was either an unmitigated failure, an attempt to co‐opt activists, or an effort to introduce the “carceral state” nationwide, this paper examines the implementation of Model Cities in a historically integrated suburb and argues that while the program was assuredly only a “limited success,” it did provide both funding and social space in which residents could forge intergenerational and cross‐racial alliances, as well as launch chal
